20 Years of Mobility Modeling & Prediction-Reference-Cited by-同舟云学术

20 Years of Mobility Modeling & Prediction

Published:2019-11-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Kulkarni Vaibhav¹,Garbinato Benoît¹

Affiliation:

1. Distributed Object Programming Lab, University of Lausanne, Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3347146.3359110

Reference23 articles.

1. User's mobility history-based mobility prediction in LTE femtocells network

2. Akinori Asahara Kishiko Maruyama Akiko Sato and Kouichi Seto. 2011. Pedestrian-movement prediction based on mixed Markov-chain model. In GIS. Akinori Asahara Kishiko Maruyama Akiko Sato and Kouichi Seto. 2011. Pedestrian-movement prediction based on mixed Markov-chain model. In GIS.

3. Daniel Ashbrook and Thad Starner. 2001. Learning Significant Locations and Predicting User Movement with GPS. In SEMWEB. Daniel Ashbrook and Thad Starner. 2001. Learning Significant Locations and Predicting User Movement with GPS. In SEMWEB.

4. Using GPS to learn significant locations and predict movement across multiple users

5. Mitra Baratchi Nirvana Meratnia Paul J. M. Havinga Andrew K. Skidmore and Bert A. G. Toxopeus. 2014. A hierarchical hidden semi-Markov model for modeling mobility data. In UbiComp. Mitra Baratchi Nirvana Meratnia Paul J. M. Havinga Andrew K. Skidmore and Bert A. G. Toxopeus. 2014. A hierarchical hidden semi-Markov model for modeling mobility data. In UbiComp.

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